Specialist Solutions Architect – AWS Infrastructure, AI Platform

This is a fully remote position, open to applicants in California.

📋 Description

• Lead strategic clients through the complete lifecycle of Databricks on AWS, starting from the initial architectural design to production deployment.

• Design and scale compute and networking infrastructure for AI workloads, enterprise LLM implementations, and high-performance GenAI applications on Databricks.

• Act as a subject matter expert in AWS infrastructure, infrastructure-as-code, cloud networking, and identity management.

• Achieve technical victories in competitive situations by creating custom solutions that highlight Databricks' unique advantages.

• Coordinate with DSAs, SAs, SSAs, and partners to provide comprehensive solutions that address complex customer requirements.

• Shape product direction by providing structured feedback on customer needs and identifying competitive gaps.

• Consult enterprise clients on architecture, cloud infrastructure, and AI deployment strategies for Databricks on AWS.

• Establish Databricks as the cornerstone of clients' data and AI strategies.

⛳️ Requirements

• Over 6 years of experience in solutions architecture, technical pre-sales, or a senior hands-on technical position.

• Practical experience in architecting cloud infrastructure for AI/ML execution, including GPUs/TPUs, scalable model serving, vectorized data retrieval, and optimizing cloud performance versus cost.

• Advanced knowledge of AWS security measures, platform/network/data security, encryption, vulnerability management, compliance, AWS IAM, AWS IAM Identity Center, SCIM, OAuth, SAML, and Federation.

• Proficiency in AWS enterprise networking, including VPC peering, AWS Direct Connect, PrivateLink, network routing, performance optimization, and managing large-scale deployments.

• Expertise in high availability, disaster recovery, cluster orchestration, observability, Amazon CloudWatch, AWS CloudTrail, and AWS Cost Management.

• Experience with Infrastructure-as-Code automation using Terraform, AWS CloudFormation, or AWS CDK.

• Strong programming skills in Python and SQL, encompassing live coding, debugging, and solution development.

• Extensive knowledge of distributed data systems architecture, scalable pipelines, streaming frameworks, lakehouse patterns, and cloud-native data platforms.

• Familiarity with the Databricks Platform or the ability to quickly attain proficiency, with technical specialization in areas such as real-time/streaming, ML/AI, data governance, or migrations.

• Capability to lead architecture discussions with senior technical stakeholders, including whiteboarding, design reviews, and trade-off evaluations.

• Proven record of driving platform adoption and consumption growth within accounts.

• Exceptional communication skills for conveying complex architectures into business value.

• Bachelor’s or Master’s degree in Computer Science, Engineering, or a related quantitative field, or equivalent experience.

• Willingness to travel up to 30%.

• Databricks certifications, AWS certifications, experience with competitive platforms, and a background in data/AI companies or cloud service providers are advantageous.

🏝️ Benefits

• Eligibility for an annual performance bonus.

• Equity opportunities.

• Comprehensive benefits and perks, with region-specific details provided by Databricks.

• Option for remote work.